Water footprint of yield protein content of twelve field crop species on a Hungarian crop site

Abstract Water availability is one of the major physiological factors influencing plant growth and development. An assessment study has been done at the Szent István University, Gödöllő to evaluate and identify the water footprint of protein yield of field crop species. Twelve field crop species (Sugar beet Beta vulgaris, spring and winter barley Hordeum vulgare, winter wheat Triticum aestivum, maize Zea mays, sunflower Helianthus annuus, peas Pisum sativum, potato Solanum tuberosum, alfalfa Medicago sativa, oilseed rape Brassica napus, rye Secale cereale and oats Avena sativa) were involved in the study. Evapotranspiration patterns of the crops studied have been identified by the regular agroclimatology methodology and physiologically reliable protein ranges within crop yields were evaluated. The results obtained suggest, that water footprint of cereals proved to be the lowest, however maize values were highly affected by the high variability of protein yield. Oilseed crops had considerably high protein yield with medium water efficiency. Alfalfa, potato and sugar beet water footprints were in accordance with their evapotranspiration patterns. Protein based water footprint assessment seems to be more applicable in crop species evaluations than that of yield based methodologies

Barriers along the Digital Social Innovation Process: A Structured Literature Review

Digital social innovation (DSI) is an emerging phenomenon drawing knowledge from digital innovation (DI) and social innovation (SI), offering opportunities to contribute to societal change by leveraging the potential of digital technologies. Although DSI has evoked increasing interest, research and practice are far from realising its full potential as many barriers arise along the DSI process. Thus, holistic insights into DSI process and its barriers are essential. Therefore, we identify barriers along the DSI process through a structured literature review considering DI, SI, and DSI literature. As a result, we identified 28 barriers and classified them into the DSI barrier framework. The DSI barrier framework builds on the DI framework of Kohli and Melville (2019) and extends it by including the societal environment. We thus shed light on the DSI process and provide holistic insights into the barriers along the DSI process

Water footprint of protein yield of field crop species based on evapotranspiration patterns

Water availability is one of the major physiological factors influencing plant growth and development.  An assessment study has been done at the Szent István University, Gödöllő to evaluate and identify the water footprint of protein yield of field crop species. Six field crop species (sugar beet Beta vulgaris, winter barley Hordeum vulgare, winter wheat Triticum aestivum, maize Zea mays, potato Solanum tuberosum, and alfalfa Medicago sativa) were involved in the study. Evapotranspiration patterns of the crops studied have been identified and physiologically reliable protein ranges within crop yields were evaluated. The results obtained suggest, that water footprint of cereals proved to be the lowest, however maize values were highly affected by the high variability of protein yield. Alfalfa, potato and sugar beet water footprints were in accordance with their evapotranspiration patterns. &nbsp

DRIVING TWIN TRANSFORMATION - THE INTERPLAY OF DIGITAL TRANSFORMATION AND SUSTAINABILITY TRANSFORMATION

Information systems research and practice have certainly realised the relevance of digital transformation. At the same time, societal challenges are pushing sustainability transformation to the top of agendas. Today, both transformations are crucial to organisations’ development. However, research and practice typically focus on one of the transformations in isolation or prioritise one over the other. An integrated perspective of the potential at both transformations’ interface is missing, which accounts for their interplay on an equal level. We call this interplay twin transformation and present a twin transformation model building on a structured literature review. The twin transformation model reflects the mutually reinforcing relationships of digital transformation and sustainability transformation on eight organisational layers. Therewith, we uncover how digital transformation enables sustainability transformation and how sustainability transformation redesigns digital transformation. Our research contributes to descriptive knowledge and forms the basis for further theorising while offering practitioners inspiration to pursue twin transformation

Persistence of Human Herpesvirus 7 in Normal Tissues Detected by Expression of a Structural Antigen

Human herpesvirus 7 (HHV-7) infection in histologically normal human tissues was investigated by immunohistochemical detection of the 85-kDa tegument phosphoprotein (pp85) encoded by the U14 gene. So far, two cell types were recognized as sites of HHV-7 infection in vivo: CD4+ T lymphocytes, believed to be the site of latent infection, and epithelial cells of salivary glands, the site of productive infection and viral shedding. Unexpectedly, cells expressing the HHV-7 structural antigen were detectable in lungs, skin, and mammary glands. Morphologically and phenotypically, they were distinct from lymphocytes. Liver, kidney, and tonsils were positive, although the number of HHV-7-positive cells was low. Large intestine, spleen, and brain were negative. Different from the current notion of the state of HHV-7 in humans, the results show that a variety of tissues harbor cells at a late stage of infection and suggest that HHV-7 causes a persistent rather than a true latent infectio

Simulation of superresolution holography for optical tweezers

Optical tweezers manipulate microscopic particles using foci of light beams. Their performance is therefore limited by diffraction. Using computer simulations of a model system, we investigate the application of superresolution holography for two-dimensional (2D) light shaping in optical tweezers, which can beat the diffraction limit. We use the direct-search and Gerchberg algorithms to shape the center of a light beam into one or two bright spots; we do not constrain the remainder of the beam. We demonstrate that superresolution algorithms can significantly improve the normalized stiffness of an optical trap and the minimum separation at which neighboring traps can be resolved. We also test if such algorithms can be used interactively, as is desirable in optical tweezers

Water footprint of protein yield of field crop species based on evapotranspiration patterns

Water availability is one of the major physiological factors influencing plant growth and development. An assessment study has been done at the Szent István University, Gödöllő to evaluate and identify the water footprint of protein yield of field crop species. Six field crop species (sugar beet Beta vulgaris, winter barley Hordeum vulgare, winter wheat Triticum aestivum, maize Zea mays, potato Solanum tuberosum, and alfalfa Medicago sativa) were involved in the study. Evapotranspiration patterns of the crops studied have been identified and physiologically reliable protein ranges within crop yields were evaluated. The results obtained suggest, that water footprint of cereals proved to be the lowest, however maize values were highly affected by the high variability of protein yield. Alfalfa, potato and sugar beet water footprints were in accordance with their evapotranspiration patterns

A world alimentation chance estimate based on protein production of crop species

Food is any substance consumed to provide nutritional support for the body. It is usually of plant or animal origin, and contains essential nutrients, such as carbohydrates, fats, proteins, vitamins and minerals. The substance is ingested by an organism and assimilated by the organism’s cells in an effort to produce energy, maintain life, or stimulate growth. Food security means to provide food for anyone, recognizing the „right to an adequate standard of living, including adequate food”, as well as the „fundamental right to be free from hunger”. The present paper provides information upon the results of research focusing on the protein production of some field crop species. An assessment study has been done at the Szent István University, Gödöllő to evaluate field crop species. Twelve field crop species (Sugar beet Beta vulgaris, spring and winter barley Hordeum vulgare, winter wheat Triticum aestivum, maize Zea mays, sunflower Helianthus annuus, peas Pisum sativum, potato Solanum tuberosum, alfalfa Medicago sativa, canola Brassica napus, rye Secale cereale and oats Avena sativa) were involved in the study. The results obtained suggest that regarding their protein production field crop species could be sorted into three distinguished groups. Alfalfa, barley and peas were the most productive field crops and also the most economic considering the cost of protein yield. Most of the grain crops and oil seed crops formed a middle range with considerable protein formation but with highly variable costs. Spring barley was the only exception within this group since the species is dedicated basically to low protein formation patterns. The two tuber and root crops had low protein yields at high cost. The final conclusion of the research is, that the rapidly increasing human population may have still reserves in cropland globally however crop species show some twofold differences in protein output while the price gap of that may be around 30 times wider